대한민국 보건복지부
보건복지부가 트위터를 통해 국민께 다가가고자 합니다. 여러분 요구에 대해 따뜻한 응답을 드리겠습니다.mohw.go.kr
88,818
Followers
57,919
Following
20,011
Tweets
68.7
Avg Engagement
1,202
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mohwpr's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2009-11-17
- Verification:Yes
- Location:seoul, korea
Data Summary
- Tweets Analyzed:3,217
- Avg Likes per Tweet:13.0
- Avg Retweets per Tweet:55.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,217 tweetsThe account has a moderate level of engagement with an average of 486 likes and 694 retweets per tweet. The content is often shared through links and hashtags, indicating a focus on information dissemination.
13.0
Avg Likes/Tweet
55.6
Avg Retweets/Tweet
41,894
Total Likes
178,981
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
18
Median Retweets
54
75th Percentile
14,523
Top Tweet
0.77
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
55.9%
Original
7.4%
Replies
36.7%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
99.7%
With Links
71.3%
With #Tags
36.8%
With @Mentions
63.3%
With Emojis
169
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.5%
Weekday Posts
12.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,217 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 1,180 retweets (37% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,217 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersThe primary audience is South Korean citizens interested in public health updates and government policies. The content is tailored to inform and respond to public concerns regarding health and safety.
Below Average
Audience Quality
36.2%
Suspicion Index
57.5%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.6%
Empty Bio
66.9%
<10 Tweets
2.7%
Mass Following (>2K)
0.0%
New (<90 days)
61.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.3%
No URL
57.3%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
4,788,839
Total Potential Reach
3
Median Follower Reach
15
75th Percentile Reach
1.3%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
19.1%
Creators
1,906 accounts
14.0%
Consumers
1,402 accounts
66.9%
Dormant
6,692 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
12
Verified Followers
0.12% of total
1,205
Protected Accounts
12.05% of total
2 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @moonriver365 | 2,176,718 | Politician | politics, leadership, nation-building |
| @KemenkesRI | 745,502 | Government Health | Health, Ministry, Indonesia |
| @hanitweet | 568,296 | News Editor | News, Citizen, Newspaper |
| @Solarplant | 160,598 | Engineer | solar energy, sustainability, innovation |
| @Kr_Justice | 81,226 | Politician | politics, justice, activism |
| @aesthetes_art | 58,278 | - | - |
| @ROK_MND | 54,659 | Military | Defense, National Security, Military |
| @hun2day | 37,982 | - | - |
| @Best_Social | 37,857 | Content Creator | BlackDesertMobile, OnGoogleMaps, Dog |
| @paarkjihy_20 | 36,740 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,241
Followers With Bio
5,759
Followers Without Bio
42.41%
% With Bio
57.59%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,217 analyzed28,824
Combined Engagement
628
Total Likes
28,196
Total Retweets
5,765
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @safeppy: 故 성공일 소방사의 명복을 빕니다. 대피하지 못한 70대 노인을 구조하기 위해 조금의 망설임도 없이 뜨거운 화염과 불길 속으로 향했던 당신의 투철한 사명과 숭고한 희생을 기억하겠습니다. #소방청 https://t.co/WBecitU23x
RT @hellopolicy: [제76주년 광복절] 나라의 독립을 위해 모든 것을 바친 선열들의 고귀한 희생과 정신을 되새기겠습니다. #대한민국정부 #제76주년 #광복절 https://t.co/VLzdmW5QwZ
[중앙재난안전대책본부에서 알려드립니다] - 최근 사회적 거리두기 3단계 격상 발표가 임박했다는 등의 허위 뉴스들은 모두 사실이 아닙니다.
RT @moonriver365: “2021년 예산안이 통과되었습니다” 여야 합의로 내년 예산안이 통과되었습니다. 2014년 이후 6년 만에 헌법 규정에 따라 예산이 국회를 통과해, 새해가 시작되면 차질없이 집행할 수 있게 되었습니다. https://t.co/bSRFln8tVr
RT @moonriver365: https://t.co/yUVV1rqUxl
Key Insights & Takeaways
The account frequently uses hashtags related to public health and pandemic updates, which helps in reaching a broader audience. It emphasizes policy changes and public guidelines, showing a focus on transparency and communication. The use of links to official sources suggests a commitment to providing accurate and up-to-date information.
Strengths
- + Established follower base of 88,818
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @mohwpr reveals an growing Twitter presence with 88,818 followers. The account demonstrates a content-creator strategy, averaging 68.7 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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